Deep Learning-Based Object Classification and Position Estimation Pipeline for Potential Use in Robotized Pick-and-Place Operations

Accurate object classification and position estimation is a crucial part of executing autonomous pick-and-place operations by a robot and can be realized using RGB-D sensors becoming increasingly available for use in industrial applications. In this paper, we present a novel unified framework for ob...

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Bibliographic Details
Main Authors: Sergey Soltan, Artemiy Oleinikov, M. Fatih Demirci, Almas Shintemirov
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Robotics
Subjects:
Online Access:https://www.mdpi.com/2218-6581/9/3/63

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